226 lines
6.9 KiB
Python
226 lines
6.9 KiB
Python
import os
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import subprocess
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import tempfile
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import re
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from flask import Flask, request, jsonify
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from werkzeug.utils import secure_filename
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app = Flask(__name__)
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# Configuration from environment variables
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OUTPUT_DIR = os.environ.get("OUTPUT_DIR", "output")
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TTS_COMMAND = os.environ.get("TTS_COMMAND", "kokoro-tts")
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PORT = int(os.environ.get("PORT", 5012))
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# Ensure output directory exists
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os.makedirs(OUTPUT_DIR, exist_ok=True)
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# Available voices
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VOICES = ["bm_fable", "bm_lewis", "bm_george"]
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def parse_speaker_text(text):
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"""Parse text into speaker: complete lines pairs for full conversation"""
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# Split by newlines and filter empty ones
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lines = [line.strip() for line in text.strip().split("\n") if line.strip()]
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speakers = {}
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current_speaker = None
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speaker_content = []
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tracks = []
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for line in lines:
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# Check if this is a speaker line (format: "SpeakerName: Some text")
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match = re.match(r"^(.*?): (.*)$", line)
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if match:
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# Handle previous speaker content
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if current_speaker and speaker_content:
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speakers[current_speaker] = "\n".join(speaker_content)
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# Start new speaker
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current_speaker = match.group(1).strip()
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speaker_content = [
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match.group(2).strip()
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] # First part after colon as initial content
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tracks += [(current_speaker, speaker_content[0])]
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else:
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# This is a continuation line for the current speaker
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if current_speaker and line.strip():
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speaker_content.append(line.strip())
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# Save final speaker's content
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if current_speaker and speaker_content:
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speakers[current_speaker] = "\n".join(speaker_content)
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return (speakers, tracks)
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def assign_voices_to_speakers(speakers):
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"""Assign voices to speakers (same voice for each speaker throughout conversation)"""
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speaker_voice_map = {}
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used_voices = set()
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for speaker in speakers.keys():
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# If we haven't assigned a voice yet, pick an unused one
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if not speaker_voice_map.get(speaker):
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available_voices = [voice for voice in VOICES if voice not in used_voices]
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if available_voices:
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selected_voice = available_voices[0]
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else:
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# If all voices are used, pick randomly (this shouldn't happen with few speakers)
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selected_voice = VOICES[0] # Fallback
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speaker_voice_map[speaker] = selected_voice
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used_voices.add(selected_voice)
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return speaker_voice_map
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def generate_wav_files(speakers, speaker_voice_map, title, tracks):
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"""Generate individual WAV files for each speaker"""
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wav_files = []
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turn = 0
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for speaker, text in tracks:
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# Create a unique filename for this speaker's contribution
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safe_speaker = secure_filename(speaker)
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filepath = os.path.join(OUTPUT_DIR, f"{title}_{turn}.wav")
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turn += 1
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# Create temporary input file with the text
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with tempfile.NamedTemporaryFile(
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mode="w", suffix=".txt", delete=False
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) as temp_file:
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temp_file.write(text)
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temp_input_path = temp_file.name
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try:
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# Run the kokoro-tts command
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cmd = [
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TTS_COMMAND,
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temp_input_path,
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filepath,
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"--voice",
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speaker_voice_map[speaker],
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]
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subprocess.run(cmd, check=True, capture_output=True)
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# Clean up temporary file
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os.unlink(temp_input_path)
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wav_files.append(filepath)
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except Exception as e:
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print(f"Error generating audio for {speaker}: {e}")
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try:
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os.unlink(temp_input_path)
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except:
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pass
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return None
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return wav_files
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def merge_wav_files(wav_files, final_output_path):
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"""Merge multiple WAV files into a single file using sox"""
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try:
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# If no files provided, return None
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if not wav_files:
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return None
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# If only one file, copy it and return
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if len(wav_files) == 1:
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import shutil
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shutil.copy2(wav_files[0], final_output_path)
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return final_output_path
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# Use sox to concatenate all WAV files
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cmd = ["sox"] + wav_files + [final_output_path]
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subprocess.run(cmd, check=True, capture_output=True)
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# Clean up all files
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for wav_file in wav_files:
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try:
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os.unlink(wav_file)
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except OSError:
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pass
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return final_output_path
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except Exception as e:
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print(f"Error merging WAV files: {e}")
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# Fallback to returning the last file if merger fails
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if wav_files and len(wav_files) > 0:
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import shutil
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try:
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shutil.copy2(wav_files[-1], final_output_path)
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return final_output_path
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except:
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pass
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return None
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@app.route("/tts", methods=["POST"])
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def text_to_speech():
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"""Endpoint to convert full conversation to audio podcast"""
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data = request.get_json()
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if not data:
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return jsonify({"error": "No JSON data provided"}), 400
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text = data.get("text")
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title = data.get("title")
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if not text or not title:
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return jsonify({"error": "Both 'text' and 'title' fields are required"}), 400
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# Sanitize title to prevent path traversal attacks
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safe_title = secure_filename(title)
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if not safe_title:
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return jsonify({"error": "Invalid title format"}), 400
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# Parse the text to identify speakers and their complete conversations
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(speakers, tracks) = parse_speaker_text(text)
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if not speakers:
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return jsonify({"error": "No speaker lines found in text"}), 400
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# Assign voices to speakers
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speaker_voice_map = assign_voices_to_speakers(speakers)
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# Generate individual WAV files for each speaker
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wav_files = generate_wav_files(speakers, speaker_voice_map, safe_title, tracks)
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if not wav_files:
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return jsonify({"error": "Failed to generate audio files"}), 500
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# Merge all generated WAV files into a single podcast file
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final_wav_path = os.path.join(OUTPUT_DIR, f"{safe_title}.wav")
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merged_file = merge_wav_files(wav_files, final_wav_path)
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if not merged_file:
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return jsonify({"error": "Failed to merge audio files"}), 500
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# Return the location of the complete podcast file
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return jsonify(
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{
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"file_path": final_wav_path,
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"message": "Full conversation podcast generated successfully",
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"speakers": list(speakers.keys()),
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"total_speakers": len(speakers),
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"total_lines": len(text.split("\n")),
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}
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)
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@app.route("/health", methods=["GET"])
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def health_check():
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"""Health check endpoint"""
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return jsonify({"status": "healthy"})
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if __name__ == "__main__":
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app.run(host="0.0.0.0", port=PORT, debug=False)
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